CN113807755A - Data processing method, information display method, equipment and storage medium - Google Patents

Abstract

The embodiment of the application provides a data processing method, an information display method, data processing equipment, information display equipment and a storage medium. In some embodiments of the present application, a data processing device receives inventory demands of a plurality of downstream bins reported by a plurality of first terminals and a current inventory quantity of an upstream bin reported by a second terminal; the data processing equipment performs cost optimization based on the corresponding cost optimization relation according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin to obtain the target warehouse-crossing quantity of the upstream bin, which needs warehouse-crossing operation to the downstream bins; the data processing equipment dispatches the inventory goods in the upstream bin to the downstream bins according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream bin to the downstream bins; the automation degree is improved, and the cargo allocation efficiency of the upstream bin is improved.

Description

Data processing method, information display method, equipment and storage medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a method, device and storage medium for data processing and information display.

Background

In the new retail supply chain of today, three parties, namely a supplier, a collection warehouse and a city warehouse, are mainly included. The supplier only transfers goods to the city bin, but can not directly send the goods to the city bin. When the urban warehouse has goods demand, the goods warehouse is required to send the goods to the downstream urban warehouse. Wherein, the storehouse operation of crossing storehouse exists to city storehouse in collection storehouse: the supplier replenishes goods to the collecting bin, and the collecting bin does not put the goods on the shelf but directly goes to a downstream city bin beyond the warehouse. Under the condition that a plurality of city warehouses need to be collected and operated over the warehouse, how to rapidly and reasonably carry out the operation over the warehouse to the city warehouses is the problem to be solved.

Disclosure of Invention

The application provides a data processing method, an information display method, equipment and a storage medium in multiple aspects, cost optimization is achieved, the warehouse-crossing amount from a warehouse to a city warehouse is obtained, and the processing efficiency of the whole goods supply chain is improved.

An embodiment of the present application provides a cargo management system, including: the system comprises a plurality of first terminals, a second terminal, a server and a logistics system, wherein the first terminals are deployed in a plurality of downstream bins;

the first terminals are used for collecting inventory demands of the downstream bins and reporting the inventory demands to the server;

the second terminal is used for collecting the current inventory quantity of the upstream bin and reporting the current inventory quantity to the server

The server is used for carrying out cost optimization based on a corresponding cost optimization relation according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin to obtain the target warehouse-crossing quantity of the upstream bin, which is required to carry out warehouse-crossing operation on the downstream bins; according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the downstream warehouses, the logistics system is dispatched to deliver the inventory goods in the upstream warehouse to the downstream warehouses;

the logistics system is used for acquiring inventory goods from an upstream bin and distributing the inventory goods to a corresponding downstream bin according to a scheduling instruction sent by the server;

wherein the upstream bin receives the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

An embodiment of the present application further provides a data processing method, including:

receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal;

according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, carrying out cost optimization based on a corresponding cost optimization relation to obtain a target warehouse-crossing quantity of the upstream bin, which is required to carry out warehouse-crossing operation on the downstream bins;

according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the downstream warehouses, the dispatching logistics system distributes the inventory goods in the upstream warehouse to the downstream warehouses;

wherein the plurality of first terminals are disposed in a plurality of downstream bins and the second terminals are disposed in an upstream bin; the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

An embodiment of the present application further provides a data processing apparatus, including: a memory and a processor;

the memory to store one or more computer instructions;

the processor to execute the one or more computer instructions to:

receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal;

according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, carrying out cost optimization based on a corresponding cost optimization relation to obtain a target warehouse-crossing quantity of the upstream bin, which is required to carry out warehouse-crossing operation on the downstream bins;

according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the downstream warehouses, the dispatching logistics system distributes the inventory goods in the upstream warehouse to the downstream warehouses;

wherein the plurality of first terminals are disposed in a plurality of downstream bins and the second terminals are disposed in an upstream bin; the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

Embodiments of the present application also provide a computer-readable storage medium storing a computer program that, when executed by one or more processors, causes the one or more processors to perform actions comprising:

receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal;

according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, carrying out cost optimization based on a corresponding cost optimization relation to obtain a target warehouse-crossing quantity of the upstream bin, which is required to carry out warehouse-crossing operation on the downstream bins;

according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the downstream warehouses, the dispatching logistics system distributes the inventory goods in the upstream warehouse to the downstream warehouses;

wherein the plurality of first terminals are disposed in a plurality of downstream bins and the second terminals are disposed in an upstream bin; the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

An embodiment of the present application further provides an information display apparatus, including: a memory, a processor and an electronic display screen;

the memory to store one or more computer instructions;

the processor to execute the one or more computer instructions to:

displaying an interface on the electronic display screen; at least one cross-stock optimization mode is displayed in the interface;

responding to the selection operation of the at least one cross-warehouse quantity optimization mode, and showing a target cross-warehouse quantity of the upstream warehouse needing to perform cross-warehouse operation on the at least one downstream warehouse;

responding to the scheduling operation, and sending a scheduling instruction to the logistics system so that the logistics system can obtain inventory goods from the upstream bin and distribute the inventory goods to the corresponding downstream bin;

the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

Embodiments of the present application also provide a computer-readable storage medium storing a computer program that, when executed by one or more processors, causes the one or more processors to perform actions comprising:

displaying an interface; at least one cross-stock optimization mode is displayed in the interface;

responding to the selection operation of the at least one cross-warehouse quantity optimization mode, and showing a target cross-warehouse quantity of the upstream warehouse needing to perform cross-warehouse operation on the at least one downstream warehouse;

responding to the scheduling operation, and sending a scheduling instruction to the logistics system so that the logistics system can obtain inventory goods from the upstream bin and distribute the inventory goods to the corresponding downstream bin;

the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

In some embodiments of the present application, a data processing device receives inventory demands of a plurality of downstream bins reported by a plurality of first terminals and a current inventory quantity of an upstream bin reported by a second terminal; the data processing equipment performs cost optimization based on the corresponding cost optimization relation according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin to obtain the target warehouse-crossing quantity of the upstream bin, which needs warehouse-crossing operation to the downstream bins; the data processing equipment dispatches the inventory goods in the upstream bin to the downstream bins according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream bin to the downstream bins; the automation degree is improved, and the cargo allocation efficiency of the upstream bin is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1a is a schematic diagram of a cargo management system according to an exemplary embodiment of the present application;

FIG. 1b is a schematic illustration of the distribution of goods provided by an exemplary embodiment of the present application;

FIG. 2 is a flowchart of a method of processing information provided in an exemplary embodiment of the present application;

FIG. 3 is a flowchart of a method of processing information provided in an exemplary embodiment of the present application;

fig. 4 is a flowchart of a method of an information presentation method according to an exemplary embodiment of the present application;

fig. 5 is a flowchart of a method of an information presentation method according to an exemplary embodiment of the present application;

fig. 6 is a schematic structural diagram of a data processing apparatus according to an exemplary embodiment of the present application;

fig. 7 is a schematic structural diagram of an information display device according to an exemplary embodiment of the present application;

fig. 8 is a schematic structural diagram of an information display device according to an exemplary embodiment of the present application;

fig. 9 is a schematic structural diagram of an information presentation device according to an exemplary embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In some embodiments of the present application, a data processing device receives inventory demand amounts of a plurality of downstream bins reported by a plurality of first terminals and a current inventory amount of an upstream bin reported by a second terminal; the data processing equipment performs cost optimization based on the corresponding cost optimization relation according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin to obtain the target warehouse-crossing quantity of the upstream bin, which needs warehouse-crossing operation to the downstream bins; the data processing equipment dispatches the inventory goods in the upstream bin to the downstream bins according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream bin to the downstream bins; the automation degree is improved, and the cargo allocation efficiency of the upstream bin is improved.

The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

Fig. 1a is a schematic structural diagram of a cargo management system 10 according to an exemplary embodiment of the present application. As shown in fig. 1a, the cargo management system 10 includes a plurality of first terminals 10a, second terminals 10b, a server 10c, and a logistics system 10 d. Wherein a plurality of first terminals 10a are disposed in a plurality of downstream bins and a second terminal 10b is disposed in an upstream bin.

In the following embodiments, the upstream warehouse is a "warehouse", and the downstream warehouse is a "city warehouse", for example, the warehouse receives the goods of the supplier; the city bins in the respective cities receive the goods called in by the collecting bin, but do not receive the goods of the supplier.

In this embodiment, the plurality of first terminals 10a are configured to collect inventory demands of a plurality of city bins and report the inventory demands to the server; the second terminal 10b is used for collecting the current inventory quantity of the collection warehouse and reporting the current inventory quantity to the server 10c, and performing cost optimization based on the corresponding cost optimization relation according to the inventory demand quantity of the plurality of city warehouses and the current inventory quantity of the collection warehouse to obtain the target warehouse-crossing quantity of the collection warehouse for warehouse-crossing operation to the plurality of city warehouses; according to the target warehouse-crossing amount of warehouse-crossing operation of the warehouse collection bin to the plurality of city warehouses, the logistics system is dispatched to distribute the inventory goods in the warehouse collection bin to the plurality of city warehouses; and the logistics system 10d is used for acquiring the inventory goods from the cargo collection bin and distributing the inventory goods to the corresponding city bin according to the scheduling instruction sent by the server.

In the present embodiment, the first terminal 10a and the second terminal 10b are used to collect the stock quantities of the city warehouse and the warehouse. The first terminal 10a and the second terminal 10b may have functions of computing, communication, internet access, and the like in addition to the basic service function, and the embodiment of the present application does not limit the types of the first terminal 10a and the second terminal 10 b. The first terminal 10a and the second terminal 10b may be a stock collector, a personal computer, a mobile phone, a robot, and the like.

In this embodiment, the server 10c is configured to calculate a target cross-warehouse volume for the warehouse to perform the cross-warehouse operation to the multiple city warehouses. The embodiment of the present application does not limit the implementation form of the server 10c, and for example, the server 10c may be a server device such as a conventional server, a cloud host, a virtual center, and the like. The server device mainly comprises a processor, a hard disk, a memory, a system bus and the like, and a general computer architecture type. The server 10c may include one web server or a plurality of web servers.

In the present embodiment, the logistics system 10d is a logistics system capable of providing logistics services for the collection warehouse. The specific implementation form of the logistics system 10d is not limited in the present application, and may be determined according to the needs of users.

In the present embodiment, the first terminal 10a, the second terminal 10b and the logistics system 10d and the server 10c may be connected wirelessly or by wire. Optionally, the server 10c may establish communication connection with the first terminal 10a, the second terminal 10b, and the logistics system 10d by using communication methods such as WIFI, bluetooth, infrared, and the like. Alternatively, the server 10c may establish communication connections with the first terminal 10a, the second terminal 10b, and the logistics system 10d through a mobile network. The network format of the mobile network may be any one of 2G (gsm), 2.5G (gprs), 3G (WCDMA, TD-SCDMA, CDMA2000, UTMS), 4G (LTE), 4G + (LTE +), WiMax, and the like.

A description will first be given of a common cargo distribution architecture. FIG. 1b is a schematic illustration of the distribution of goods provided by an exemplary embodiment of the present application. As shown in fig. 1b, the supplier needs to deliver the goods to the collecting warehouse, and then the collecting warehouse delivers the inventory goods to each city warehouse, but the supplier cannot directly deliver the goods to the city warehouse. The goods collecting bin can be used for shelving the inventory goods and can also be used for cross-over operation of the inventory goods to the city bin. It should be noted that the warehouse-crossing operation from the warehouse to the city warehouse means that the supplier replys goods to the warehouse, and the warehouse does not put the goods on the shelf, but directly crosses the warehouse to the downstream city warehouse.

In this embodiment, the first terminal 10a corresponding to each city bin and the second terminal 10b corresponding to the collective bin respectively collect respective inventory amounts; after the first terminal 10a collects respective inventory amounts, the inventory amounts of a plurality of city warehouses are calculated and obtained according to the actual conditions of the city warehouses. Then, the first terminal 10a reports the inventory demand of the multiple city bins to the server 10c, and the second terminal 10b reports the inventory amount to the server 10 c.

In the above embodiment, the server 10c performs cost optimization based on the corresponding cost optimization relationship according to the inventory demand of the multiple city warehouses and the current inventory number of the collection warehouse, to obtain the target warehouse-crossing amount of the collection warehouse, which needs to perform warehouse-crossing operation to the multiple city warehouses. In one implementation, the server 10c determines whether the current inventory quantity of the cargo bin is less than the sum of the inventory demands of the plurality of city bins; if so, the server 10c performs cost optimization based on the corresponding cost optimization relationship to obtain a target warehouse-crossing amount of warehouse-crossing operations to the multiple city warehouses; if not, the server 10c takes the inventory demand of each of the at least one city bin as a target cross-bin amount of the warehouse, which is required to perform cross-bin operation on the at least one city bin.

In this embodiment, the server 10c performs cost optimization based on the cost optimization relationship to obtain a target warehouse-crossing amount of the warehouse collection warehouse, which requires warehouse-crossing operation to at least one city warehouse. One realizable mode is that cost optimization is carried out based on a cost optimization relation, and the warehouse-crossing amount of warehouse collection required to carry out warehouse-crossing operation on at least one city warehouse is obtained; judging whether the warehouse crossing amount of the target city warehouse exists in the warehouse crossing amount of at least one city warehouse for warehouse crossing operation or not is a negative number; if yes, setting the warehouse-crossing amount of the target city warehouse as 0, and continuing to perform cost optimization based on a cost optimization relation to obtain the target warehouse-crossing amount of the warehouse collection warehouse, which needs to perform warehouse-crossing operation on at least one city warehouse, wherein the target warehouse-crossing amount is a non-negative number. It should be noted that, in an actual situation, the warehouse-crossing amount of the target city warehouse cannot be a negative number, and therefore, the warehouse-crossing amount of the target city warehouse is set to 0, and cost optimization is continued based on the cost optimization relationship until the warehouse-crossing amounts of all the city warehouses are positive numbers, and the target warehouse-crossing amount of the collection warehouse, which needs warehouse-crossing operation to at least one city warehouse, is obtained.

In the above embodiment, the cost optimization is performed based on the cost optimization relationship, and the warehouse-crossing amount of the warehouse collection warehouse required to perform warehouse-crossing operation to at least one city warehouse is obtained. One way to achieve this is to establish a cost-optimized objective optimization function based on the existing over-warehouse fixed cost, the goods holding cost and the goods stock shortage cost; generating a punishment item according to the Lagrange multiplier, the current stock of the warehouse and the warehouse-crossing variable for the warehouse-crossing operation to at least one city warehouse; adding the penalty item into the objective optimization function to obtain a new objective optimization function; updating the existing service level function and economic batch function by using a new target optimization function to obtain a simultaneous equation; and solving the joint cubic equation to obtain the value of the Lagrange multiplier and the warehouse-crossing amount of the warehouse-crossing operation required to at least one city warehouse.

An alternative embodiment is to establish an objective optimization function for cost optimization based on the existing cross-warehouse fixed costs, item holding costs and item backorder costs. For example, the objective optimization function:

constrained to:

Σ_i∈Oq_i≤I₀ (19)

q_i≥0，i∈O (20)

y_i＝1 if q_i＞0，y_i＝0 if q_i＝0，i∈O (21)

model input parameters:

o: set of all city bins

i: city store i

K_i: fixed cost for delivering goods from goods collection warehouse to city warehouse i

h_i: cost per unit of ownership of goods in urban warehouse

b_i: unit stock shortage cost of city warehouse i goods

IP_i: inventory location for city bin i

Over-warehouse period R of city warehouse i_iIn a pre-loading period L_iDemand of period

I₀: existing stock of cargo collection warehouse

Decision variables:

q_i: warehouse-crossing quantity from warehouse to city warehouse i

y_i: a variable of 0-1, if the quantity of the collected warehouse over warehouse to the city warehouse is more than 0, y_i1. If there is no over-library amount, y_i＝0

The above objective optimization function is non-convex, and a Lagrangian relaxation method is introduced to solve the problem. According to Lagrange multiplier, current stock of cargo collection warehouse and cargo collection warehouse needing to carry out warehouse-crossing operation to at least one city warehouseGenerating a penalty term lambda (sigma) by crossing the library variables_i∈Oq_i-I₀). And is added to the objective optimization function (18), where λ is the Lagrange multiplier, resulting in a new objective optimization function (22)

Due to the fact that

Therefore, it is not only easy to use

Substituting equation (23) into equation (22)

Due to the last term in the objective optimization function (24)

Is constant, so we only need to optimize:

the constraints are invariant to equations (20) and (21).

The optimal solution of the relaxation problem is denoted by D (λ), and the optimal λ can be solved by the following dual problem:

maxD(λ)，λ≥0. (26)

since D (λ) is a concave function and λ is a scalar, the optimal λ can be solved by a linear search algorithm, such as the golden section method.

The replenishment of the city bin employs an (S, S) strategy, in which:

S_i＝s_i+Q_i (28)

wherein (29) can be a service level calculation formula, and the backorder cost b can be effectively balanced_iAnd inventory holding cost h_i. (30) Is a classic EOQ (optimal economic batch) calculation formula. Equation (27) calculates the starting point s_iEquation (28) calculates the target stock water level S_i。

And updating the existing service level function and economic batch function by using the new target optimization function to obtain a simultaneous equation. H 'due to equation (25)'_i＝h_i+λ (31)，b′_i＝b_i- λ. (32) can be substituted into the corresponding updates in (29), (30).

Solving the simultaneous equations to find the optimal Lagrange multiplier lambda to make sigma_i∈Oq_i(λ*)＝I₀Due to q_iMonotonically varying with the variation of λ, so the optimal lagrange multiplier λ can be solved by a dichotomy, where q is_i(λ*)＝S_i(λ*)-IP_i,S_i(λ ×) is calculated from equations (27) to (32). If the calculated over-warehouse quantity of a certain city warehouse is less than 0, the calculated over-warehouse quantity is not in accordance with the actual situation, the calculated over-warehouse quantity is set to be 0, the calculated over-warehouse quantity is eliminated, and the rest city warehouses are subjected to cost optimization repeatedly until the over-warehouse quantity of no city warehouse is less than 0.

In the system embodiment of the present application, the data processing device receives inventory demands of a plurality of downstream bins reported by a plurality of first terminals and a current inventory quantity of an upstream bin reported by a second terminal; the data processing equipment performs cost optimization based on the corresponding cost optimization relation according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin to obtain the target warehouse-crossing quantity of the upstream bin, which needs warehouse-crossing operation to the downstream bins; the data processing equipment dispatches the inventory goods in the upstream bin to the downstream bins according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream bin to the downstream bins; the automation degree is improved, and the cargo allocation efficiency of the upstream bin is improved.

Fig. 2 is a flowchart of a method of processing information according to an exemplary embodiment of the present application, where as shown in fig. 2, the method includes the following steps:

s201: receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal;

s202: according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, cost optimization is carried out based on the corresponding cost optimization relation, and the target warehouse-crossing quantity of the upstream bin, which needs warehouse-crossing operation to the downstream bins, is obtained;

s203: according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to a plurality of downstream warehouses, the dispatching logistics system distributes the inventory goods in the upstream warehouse to the downstream warehouses; wherein the plurality of first terminals are disposed in a plurality of downstream bins and the second terminals are disposed in an upstream bin.

In this embodiment, the execution subject of the method may be a server, or may be other computer equipment. When the execution subject of the method is a server, the server is used for calculating a target cross-warehouse quantity of the cross-warehouse operation of the upstream warehouse to a plurality of downstream warehouses. The embodiment of the present application does not limit the implementation form of the server, and for example, the server may be a conventional server, a cloud host, a virtual center, or other server devices. The server device mainly comprises a processor, a hard disk, a memory, a system bus and the like, and a general computer architecture type. The server may include one web server or a plurality of web servers.

In the following embodiments, the upstream warehouse is a "warehouse", and the downstream warehouse is a "city warehouse", for example, the warehouse receives the goods of the supplier; the city bins in the respective cities receive the goods called in by the collecting bin, but do not receive the goods of the supplier.

In this embodiment, the plurality of first terminals are configured to collect inventory demands of the plurality of city bins and report the inventory demands to the server; the second terminal is used for collecting the current inventory quantity of the collection warehouse and reporting the current inventory quantity to the server, and carrying out cost optimization based on the corresponding cost optimization relation according to the inventory demand quantity of the plurality of city warehouses and the current inventory quantity of the collection warehouse to obtain the target warehouse-crossing quantity of the collection warehouse for warehouse-crossing operation to the plurality of city warehouses; according to the target warehouse-crossing amount of warehouse-crossing operation of the warehouse collection bin to the plurality of city warehouses, the logistics system is dispatched to distribute the inventory goods in the warehouse collection bin to the plurality of city warehouses; and the logistics system is used for acquiring the inventory goods from the goods collecting bin and distributing the inventory goods to the corresponding city bin according to the scheduling instruction sent by the server.

In this embodiment, the first terminal and the second terminal are used for collecting the inventory quantity of the city warehouse and the warehouse. The first terminal and the second terminal may have functions of computing, communication, internet access and the like besides the basic service function, and the embodiments of the present application do not limit the types of the first terminal and the second terminal. The first terminal and the second terminal can be a stock collector, a personal computer, a mobile phone, a robot and the like.

In this embodiment, the logistics system is a logistics system capable of providing logistics services for the cargo collection bin. The specific implementation form of the logistics system is not limited, and can be determined according to the requirements of users.

A description will first be given of a common cargo distribution architecture. FIG. 1b is a schematic illustration of the distribution of goods provided by an exemplary embodiment of the present application. As shown in fig. 1b, the supplier needs to deliver the goods to the collecting warehouse, and then the collecting warehouse delivers the inventory goods to each city warehouse, but the supplier cannot directly deliver the goods to the city warehouse. The goods collecting bin can be used for shelving the inventory goods and can also be used for cross-over operation of the inventory goods to the city bin. It should be noted that the warehouse-crossing operation from the warehouse to the city warehouse means that the supplier replys goods to the warehouse, and the warehouse does not put the goods on the shelf, but directly crosses the warehouse to the downstream city warehouse.

In this embodiment, the first terminal corresponding to each city bin and the second terminal corresponding to the collective bin respectively collect respective inventory amounts; after the first terminal collects respective inventory, the inventory demand of a plurality of city bins is calculated and obtained by combining the actual conditions of the city bins. And then, the first terminal reports the inventory demands of the multiple city bins to the server, and the second terminal reports the inventory quantity to the server.

In the above embodiment, the server performs cost optimization based on the corresponding cost optimization relationship according to the inventory demand of the multiple city warehouses and the current inventory number of the collection warehouse, to obtain the target warehouse-crossing amount of the collection warehouse for performing warehouse-crossing operation to the multiple city warehouses. One way to achieve this is that the server determines whether the current inventory quantity of the collection bin is less than the sum of the inventory demands of the plurality of city bins; if so, the server performs cost optimization based on the corresponding cost optimization relation to obtain a target warehouse-crossing amount of warehouse-crossing operations required by the warehouse collection warehouse to the plurality of city warehouses; and if not, the server takes the inventory demand of each city bin as a target warehouse-crossing quantity of the warehouse-crossing operation required by the warehouse collection bin to the at least one city bin.

In this embodiment, the server performs cost optimization based on the cost optimization relationship to obtain a target warehouse-crossing amount by which the warehouse-crossing operation needs to be performed on at least one city warehouse. One realizable mode is that cost optimization is carried out based on a cost optimization relation, and the warehouse-crossing amount of warehouse collection required to carry out warehouse-crossing operation on at least one city warehouse is obtained; judging whether the warehouse crossing amount of the target city warehouse exists in the warehouse crossing amount of at least one city warehouse for warehouse crossing operation or not is a negative number; if yes, setting the warehouse-crossing amount of the target city warehouse as 0, and continuing to perform cost optimization based on a cost optimization relation to obtain the target warehouse-crossing amount of the warehouse collection warehouse, which needs to perform warehouse-crossing operation on at least one city warehouse, wherein the target warehouse-crossing amount is a non-negative number. It should be noted that, in an actual situation, the warehouse-crossing amount of the target city warehouse cannot be a negative number, and therefore, the warehouse-crossing amount of the target city warehouse is set to 0, and cost optimization is continued based on the cost optimization relationship until the warehouse-crossing amounts of all the city warehouses are positive numbers, and the target warehouse-crossing amount of the collection warehouse, which needs warehouse-crossing operation to at least one city warehouse, is obtained.

In the above embodiment, the cost optimization is performed based on the cost optimization relationship, and the warehouse-crossing amount of the warehouse collection warehouse required to perform warehouse-crossing operation to at least one city warehouse is obtained. One way to achieve this is to establish a cost-optimized objective optimization function based on the existing over-warehouse fixed cost, the goods holding cost and the goods stock shortage cost; generating a punishment item according to the Lagrange multiplier, the current stock of the warehouse and the warehouse-crossing variable for the warehouse-crossing operation to at least one city warehouse; adding the penalty item into the objective optimization function to obtain a new objective optimization function; updating the existing service level function and economic batch function by using a new target optimization function to obtain a simultaneous equation; and solving the joint cubic equation to obtain the value of the Lagrange multiplier and the warehouse-crossing amount of the warehouse-crossing operation required to at least one city warehouse.

An alternative embodiment is to establish an objective optimization function for cost optimization based on the existing cross-warehouse fixed costs, item holding costs and item backorder costs. For example, the objective optimization function:

constrained to:

∑_i∈Oq_i≤I₀ (19)

q_i≥0，i∈O (20)

y_i＝1 if q_i＞0，y_i＝0 if q_i＝0，i∈O (21)

model input parameters:

o: set of all city bins FDC

i: city store i

K_i: fixing device for delivering goods from goods collecting bin to city bin iBook (I)

h_i: cost per unit of ownership of goods in urban warehouse

b_i: unit stock shortage cost of city warehouse i goods

IP_i: inventory location for city bin i

Over-warehouse period R of city warehouse i_iIn a pre-loading period L_iDemand of period

I₀: existing stock of cargo collection warehouse

Decision variables:

q_i: warehouse-crossing quantity from warehouse to city warehouse i

y_i: a variable of 0-1, if the quantity of the collected warehouse over warehouse to the city warehouse is more than 0, y_i1. If there is no over-library amount, y_i＝0

The above objective optimization function is non-convex, and a Lagrangian relaxation method is introduced to solve the problem. Generating a punishment term lambda (sigma) according to the Lagrange multiplier, the current stock of the cargo collection bin and the warehouse-crossing variable of the cargo collection bin needing warehouse-crossing operation to at least one city bin_i∈Oq_i-I₀),. And is added to the objective optimization function (18), where λ is the Lagrange multiplier, resulting in a new objective optimization function (22)

Due to the fact that

Therefore, it is not only easy to use

Substituting equation (23) into equation (22)

Due to the last term in the objective optimization function (24)

Is constant, so we only need to optimize:

the constraints are invariant to equations (20) and (21).

The optimal solution of the relaxation problem is denoted by D (λ), and the optimal λ can be solved by the following dual problem:

maxD(λ)，λ≥0. (26)

since D (λ) is a concave function and λ is a scalar, the optimal λ can be solved by a linear search algorithm, such as the golden section method.

The replenishment of the city bin employs an (S, S) strategy, in which:

S_i＝s_i+Q_i (28)

wherein (29) can be a service level calculation formula, and the backorder cost b can be effectively balanced_iAnd inventory holding cost h_i. (30) Is a classic EOQ (optimal economic batch) calculation formula. Equation (27) calculates the starting point s_iEquation (28) calculates the target stock water level S_i。

And updating the existing service level function and economic batch function by using the new target optimization function to obtain a simultaneous equation. H 'due to equation (25)'_i＝h_i+λ (31)，b′_i＝b_i- λ. (32) can be substituted into the corresponding updates in (29), (30).

Solving the simultaneous equations to find the optimal Lagrange multiplier lambda to make sigma_i∈Oq_i(λ*)＝I₀Due to q_iMonotonically varying with the variation of λ, so the optimal lagrange multiplier λ can be solved by a dichotomy, where q is_i(λ*)＝S_i(λ*)-IP_i,S_i(λ ×) is calculated from equations (27) to (32). If the calculated over-warehouse quantity of a certain city warehouse is less than 0, the calculated over-warehouse quantity is not in accordance with the actual situation, the calculated over-warehouse quantity is set to be 0, the calculated over-warehouse quantity is eliminated, and the rest city warehouses are subjected to cost optimization repeatedly until the over-warehouse quantity of no city warehouse is less than 0.

Based on the description of the foregoing embodiments, fig. 3 is a flowchart of a method of processing information according to an exemplary embodiment of the present application. As shown in fig. 3, the method comprises the steps of:

s301: receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal;

s302: judging whether the current inventory quantity of the upstream bin is less than the sum of the inventory demands of a plurality of downstream bins; if yes, executing step S303, otherwise executing step S304;

s303: performing cost optimization based on the corresponding cost optimization relation to obtain a target warehouse-crossing amount of the warehouse-crossing operation of the upstream warehouse to a plurality of downstream warehouses;

s304: taking the inventory demand of at least one downstream bin as a target ex-warehouse quantity of the upstream bin required to carry out ex-warehouse operation on at least one downstream bin;

s305: the dispatch logistics system delivers inventory items in the upstream bin to the plurality of downstream bins based on a target cross-bin amount by which the upstream bin requires cross-bin operations to the plurality of downstream bins.

Fig. 4 is a flowchart of an information displaying method according to an exemplary embodiment of the present application. As shown in fig. 4, the method comprises the steps of:

s401: displaying an interface; at least one cross-stock quantity optimization mode is displayed in the interface;

s402: responding to the selection operation of the at least one ex-warehouse quantity optimization mode, and showing the target ex-warehouse quantity of the upstream warehouse needing to perform ex-warehouse operation on at least one downstream warehouse;

s403: and responding to the dispatching operation, sending dispatching instructions to the logistics system so that the logistics system can obtain the stock goods from the upstream bin and distribute the stock goods to the corresponding downstream bin.

In this embodiment, the execution subject information display device of the method may have functions of computing, communication, internet access, and the like, in addition to the basic service function. The embodiment of the present application does not limit the type of the information presentation apparatus. The information display equipment can be a personal computer, a mobile phone and other intelligent equipment.

In the embodiment, the information display device responds to the stock quantity obtaining operation and displays the current stock quantity of the upstream bin and the stock quantity of at least one downstream bin; and responding to the over-library operation, and displaying at least one over-library quantity optimization mode. For example, the information display device responds to the triggering operation of the stock quantity acquisition control, and displays the current stock quantity of the upstream bin and the stock quantity of at least one downstream bin; and the information display equipment responds to the trigger operation of the over-library control and displays at least one over-library quantity optimization mode.

In the above embodiment, the information presentation apparatus presents the target over-warehouse quantity of the upstream warehouse required to perform the over-warehouse operation to the at least one downstream warehouse in response to the selection operation of the at least one over-warehouse quantity optimization mode. One way to realize this is to respond to the selection operation of at least one over-warehouse quantity optimization way, and carry out cost optimization by using the selected optimization way to obtain the target over-warehouse quantity of the upstream warehouse needing to carry out over-warehouse operation to at least one downstream warehouse; a target bin-crossing amount is shown that the upstream bin needs to perform a bin-crossing operation to at least one downstream bin. For example, multiple cross-warehouse quantity optimization modes can be selected by a user, the information display device responds to the selection operation of at least one cross-warehouse quantity optimization mode and performs cost optimization by using the selected optimization mode to obtain a target cross-warehouse quantity of an upstream warehouse needing to perform cross-warehouse operation to at least one downstream warehouse; the information display device displays the target warehouse-crossing amount of the warehouse-crossing operation of the upstream warehouse to at least one downstream warehouse, and user experience is improved.

Based on the description of the above embodiments, fig. 5 is a flowchart of a method of an information presentation method according to an exemplary embodiment of the present application. As shown in fig. 5, the method comprises the steps of:

s501: responding to the stock quantity obtaining operation, and displaying the current stock quantity of the upstream bin and the stock quantity of at least one downstream bin;

s502: responding to the library crossing operation, and displaying at least one library crossing amount optimization mode;

s503: responding to the selection operation of the at least one ex-warehouse quantity optimization mode, and showing the target ex-warehouse quantity of the upstream warehouse needing to perform ex-warehouse operation on at least one downstream warehouse;

s504: and responding to the dispatching operation, sending dispatching instructions to the logistics system so that the logistics system can obtain the stock goods from the upstream bin and distribute the stock goods to the corresponding downstream bin.

It should be noted that the execution subjects of the steps of the methods provided in the above embodiments may be the same device, or different devices may be used as the execution subjects of the methods. For example, the execution subjects of steps 401 to 403 may be device a; for another example, the execution subject of steps 401 and 402 may be device a, and the execution subject of step 403 may be device B; and so on.

In addition, in some of the flows described in the above embodiments and the drawings, a plurality of operations are included in a specific order, but it should be clearly understood that the operations may be executed out of the order presented herein or in parallel, and the sequence numbers of the operations, such as 401, 402, etc., are merely used to distinguish various operations, and the sequence numbers themselves do not represent any execution order. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

In the method embodiment of the present application, a data processing device receives inventory demands of a plurality of downstream bins reported by a plurality of first terminals and a current inventory quantity of an upstream bin reported by a second terminal; the data processing equipment performs cost optimization based on the corresponding cost optimization relation according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin to obtain the target warehouse-crossing quantity of the upstream bin, which needs warehouse-crossing operation to the downstream bins; the data processing equipment dispatches the inventory goods in the upstream bin to the downstream bins according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream bin to the downstream bins; the automation degree is improved, and the cargo allocation efficiency of the upstream bin is improved.

Fig. 6 is a schematic structural diagram of a data processing apparatus according to an exemplary embodiment of the present application, and as shown in fig. 6, the data processing apparatus includes a receiving module 61, an optimizing module 62, and a scheduling module 63.

The receiving module 61 is configured to receive inventory demands of a plurality of downstream bins reported by a plurality of first terminals and a current inventory quantity of an upstream bin reported by a second terminal;

the optimization module 62 is configured to perform cost optimization based on a corresponding cost optimization relationship according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, and obtain a target warehouse-crossing quantity of the upstream bin, which is required to perform warehouse-crossing operation on the downstream bins;

and the dispatching module 63 is configured to dispatch the inventory goods in the upstream warehouse to the plurality of downstream warehouses according to the target warehouse-crossing amount of warehouse-crossing operations required by the upstream warehouse to the plurality of downstream warehouses.

Optionally, the optimization module 62 is specifically configured to, when performing cost optimization based on a corresponding cost optimization relationship according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin to obtain a target warehouse-crossing quantity of the upstream bin that needs to perform warehouse-crossing operation to the downstream bins, specifically: judging whether the current inventory quantity of the upstream bin is less than the sum of the inventory demands of a plurality of downstream bins; and if so, performing cost optimization based on the corresponding cost optimization relation to obtain a target warehouse-crossing amount of the warehouse-crossing operation of the upstream warehouse to the downstream warehouses.

Optionally, the optimizing module 62 is further configured to: and if not, taking the inventory demand of at least one downstream bin as a target ex-warehouse quantity of the upstream bin required to perform ex-warehouse operation on at least one downstream bin.

Optionally, the optimizing module 62 is specifically configured to, when performing cost optimization based on the cost optimization relationship to obtain a target library crossing amount that the upstream bin needs to perform library crossing operation to at least one downstream bin: performing cost optimization based on the cost optimization relationship to obtain a warehouse-crossing amount of the upstream warehouse needing warehouse-crossing operation to at least one downstream warehouse; judging whether the bank crossing amount of the target downstream bin exists in the bank crossing amount of at least one downstream bin for the bank crossing operation is a negative number; if yes, setting the stock crossing amount of the target downstream bin to be 0, and continuing to perform cost optimization based on the cost optimization relation to obtain the target stock crossing amount of the upstream bin, which needs to perform stock crossing operation on at least one downstream bin, wherein the target stock crossing amount is a non-negative number.

Optionally, the optimization module 62 is specifically configured to, when performing cost optimization based on the cost optimization relationship to obtain a library crossing amount that the upstream bin needs to perform a library crossing operation to at least one downstream bin: establishing a cost optimization target optimization function according to the existing over-warehouse fixed cost, the goods holding cost and the goods shortage cost; generating a punishment item according to the Lagrange multiplier, the current inventory of the upstream bin and the over-bin variable of the upstream bin needing to perform over-bin operation on at least one downstream bin; adding the penalty item into the objective optimization function to obtain a new objective optimization function; updating the existing service level function and economic batch function by using a new target optimization function to obtain a simultaneous equation; and solving the joint cubic equation to obtain the value of the Lagrange multiplier and the library crossing amount of the upstream bin needing to perform library crossing operation on at least one downstream bin.

Fig. 7 is a schematic structural diagram of an information display apparatus according to an exemplary embodiment of the present application. As shown in fig. 7, the information presentation apparatus includes a presentation module 71, a first manipulation module 72, and a second manipulation module 73.

The display module 71 is configured to display an interface; at least one cross-stock quantity optimization mode is displayed in the interface;

the first operation module 72 is used for responding to the selection operation of at least one cross-warehouse quantity optimization mode and displaying the target cross-warehouse quantity of the cross-warehouse operation of the upstream warehouse to at least one downstream warehouse;

the second operation module 73, in response to the dispatching operation, sends a dispatching instruction to the logistics system for the logistics system to obtain the inventory goods from the upstream bin and distribute the inventory goods to the corresponding downstream bin.

Optionally, when the first operation module 72 shows that the upstream bin needs to perform the target over-bin amount of the over-bin operation to the at least one downstream bin in response to the selection operation of the at least one over-bin amount optimization manner, the first operation module is specifically configured to: responding to the selection operation of at least one cross-warehouse quantity optimization mode, and performing cost optimization by using the selected optimization mode to obtain a target cross-warehouse quantity of which the upstream warehouse needs to perform cross-warehouse operation on at least one downstream warehouse; a target bin-crossing amount is shown that the upstream bin needs to perform a bin-crossing operation to at least one downstream bin.

Optionally, the first operation module 72, before showing the target over-bin amount that the upstream bin needs to perform the over-bin operation to the at least one downstream bin in response to the selection operation of the at least one over-bin amount optimization manner, may further be configured to: responding to the stock quantity obtaining operation, and displaying the current stock quantity of the upstream bin and the stock quantity of at least one downstream bin; and responding to the over-library operation, and displaying at least one over-library quantity optimization mode.

Fig. 8 is a schematic structural diagram of a data processing device according to an exemplary embodiment of the present application. As shown in fig. 8, the data processing apparatus includes a memory 801 and a processor 802. In addition, the data processing device comprises necessary components like a power component 803 and a communication component 804.

A memory 801 for storing computer programs and may be configured to store other various data to support operations on the data processing apparatus. Examples of such data include instructions for any application or method operating on a data processing device.

The memory 801 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

A communication component 804 configured to communicate data with other devices.

The processor 802, may execute computer instructions stored in the memory 801 for: receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal; according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, cost optimization is carried out based on the corresponding cost optimization relation, and the target warehouse-crossing quantity of the upstream bin, which needs warehouse-crossing operation to the downstream bins, is obtained; according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to a plurality of downstream warehouses, the dispatching logistics system distributes the inventory goods in the upstream warehouse to the downstream warehouses; wherein a plurality of first terminals are deployed in a plurality of downstream bins and a second terminal is deployed in an upstream bin; the upstream bin receives the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

Optionally, when the processor 802 performs cost optimization based on the corresponding cost optimization relationship according to the inventory demand of the multiple downstream bins and the current inventory quantity of the upstream bin to obtain a target ex-warehouse quantity that the upstream bin needs to perform ex-warehouse operation on the multiple downstream bins, the method is specifically configured to: judging whether the current inventory quantity of the upstream bin is less than the sum of the inventory demands of a plurality of downstream bins; and if so, performing cost optimization based on the corresponding cost optimization relation to obtain a target warehouse-crossing amount of the warehouse-crossing operation of the upstream warehouse to the downstream warehouses.

Optionally, the processor 802 may be further configured to: and if not, taking the inventory demand of at least one downstream bin as a target ex-warehouse quantity of the upstream bin required to perform ex-warehouse operation on at least one downstream bin.

Optionally, when the processor 802 performs cost optimization based on the cost optimization relationship to obtain a target library crossing amount that the upstream bin needs to perform library crossing operation to at least one downstream bin, it is specifically configured to: performing cost optimization based on the cost optimization relationship to obtain a warehouse-crossing amount of the upstream warehouse needing warehouse-crossing operation to at least one downstream warehouse; judging whether the bank crossing amount of the target downstream bin exists in the bank crossing amount of at least one downstream bin for the bank crossing operation is a negative number; if yes, setting the stock crossing amount of the target downstream bin to be 0, and continuing to perform cost optimization based on the cost optimization relation to obtain the target stock crossing amount of the upstream bin, which needs to perform stock crossing operation on at least one downstream bin, wherein the target stock crossing amount is a non-negative number.

Optionally, the processor 802 performs cost optimization based on a cost optimization relationship to obtain a library crossing amount that an upstream bin needs to perform a library crossing operation to at least one downstream bin, and is specifically configured to: establishing a cost optimization target optimization function according to the existing over-warehouse fixed cost, the goods holding cost and the goods shortage cost; generating a punishment item according to the Lagrange multiplier, the current inventory of the upstream bin and the over-bin variable of the upstream bin needing to perform over-bin operation on at least one downstream bin; adding the penalty item into the objective optimization function to obtain a new objective optimization function; updating the existing service level function and economic batch function by using a new target optimization function to obtain a simultaneous equation; and solving the joint cubic equation to obtain the value of the Lagrange multiplier and the library crossing amount of the upstream bin needing to perform library crossing operation on at least one downstream bin.

Correspondingly, the embodiment of the application also provides a computer readable storage medium storing the computer program. The computer-readable storage medium stores a computer program, and the computer program, when executed by one or more processors, causes the one or more processors to perform the steps in the method embodiment of fig. 2.

Fig. 9 is a schematic structural diagram of an information presentation device according to an exemplary embodiment of the present application. As shown in fig. 9, the information presentation apparatus includes a memory 901 and a processor 902. In addition, the information presentation device comprises the necessary components of a power supply component 903, a communication component 904 and an electronic display 905.

The memory 901 is used to store computer programs and may be configured to store other various data to support operations on the information presentation device. Examples of such data include instructions for any application or method operating on the information presentation device.

The memory 901 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

A communication component 904 for data transmission with other devices.

The processor 902, which may execute computer instructions stored in the memory 901, is configured to: displaying an interface; at least one cross-stock quantity optimization mode is displayed in the interface; responding to the selection operation of the at least one ex-warehouse quantity optimization mode, and showing the target ex-warehouse quantity of the upstream warehouse needing to perform ex-warehouse operation on at least one downstream warehouse; responding to the scheduling operation, and sending a scheduling instruction to the logistics system so that the logistics system can obtain inventory goods from the upstream bin and distribute the inventory goods to the corresponding downstream bin; the upstream bin receives the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

Optionally, when the processor 902 responds to the selection operation of the at least one over-bin amount optimization manner and shows that the upstream bin needs to perform the target over-bin amount of the over-bin operation to the at least one downstream bin, specifically, the processor is configured to: responding to the selection operation of at least one cross-warehouse quantity optimization mode, and performing cost optimization by using the selected optimization mode to obtain a target cross-warehouse quantity of which the upstream warehouse needs to perform cross-warehouse operation on at least one downstream warehouse; a target bin-crossing amount is shown that the upstream bin needs to perform a bin-crossing operation to at least one downstream bin.

Optionally, the processor 902, before showing a target over-bin amount that the upstream bin needs to perform an over-bin operation to the at least one downstream bin in response to the selection operation of the at least one over-bin amount optimization manner, may further be configured to: responding to the stock quantity obtaining operation, and displaying the current stock quantity of the upstream bin and the stock quantity of at least one downstream bin; and responding to the over-library operation, and displaying at least one over-library quantity optimization mode.

Correspondingly, the embodiment of the application also provides a computer readable storage medium storing the computer program. The computer-readable storage medium stores a computer program, and the computer program, when executed by one or more processors, causes the one or more processors to perform the steps in the method embodiment of fig. 4.

The communication components of fig. 8 and 9 described above are configured to facilitate communication between the device in which the communication component is located and other devices in a wired or wireless manner. The device where the communication component is located can access a wireless network based on a communication standard, such as a WiFi, a 2G, 3G, 4G/LTE, 5G and other mobile communication networks, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

The power supply components of fig. 8 and 9 described above provide power to the various components of the device in which the power supply components are located. The power components may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device in which the power component is located.

In the above device embodiment of the present application, the data processing device receives inventory demand amounts of a plurality of city bins reported by a plurality of first terminals and a current inventory amount of an upstream bin reported by a second terminal; the data processing equipment performs cost optimization based on a corresponding cost optimization relation according to the inventory demand of the multiple city bins and the current inventory quantity of the upstream bin to obtain the target cross-bin quantity of the upstream bin, which needs to perform cross-bin operation on the multiple city bins; the data processing equipment dispatches the inventory goods in the upstream warehouse to the plurality of city warehouses according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the plurality of city warehouses; the automation degree is improved, and the cargo allocation efficiency of the upstream bin is improved.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (13)

1. A cargo management system, comprising: the system comprises a plurality of first terminals, a second terminal, a server and a logistics system, wherein the first terminals are deployed in a plurality of downstream bins;

the first terminals are used for collecting inventory demands of the downstream bins and reporting the inventory demands to the server;

the second terminal is used for collecting the current inventory quantity of the upstream bin and reporting the current inventory quantity to the server

The server is used for carrying out cost optimization based on a corresponding cost optimization relation according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin to obtain the target warehouse-crossing quantity of the upstream bin, which is required to carry out warehouse-crossing operation on the downstream bins; according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the downstream warehouses, the logistics system is dispatched to deliver the inventory goods in the upstream warehouse to the downstream warehouses;

the logistics system is used for acquiring inventory goods from an upstream bin and distributing the inventory goods to a corresponding downstream bin according to a scheduling instruction sent by the server;

wherein the upstream bin receives the supplier's goods; the downstream bin receives the goods called in by the collecting bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

2. A data processing method, comprising:

receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal;

according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, carrying out cost optimization based on a corresponding cost optimization relation to obtain a target warehouse-crossing quantity of the upstream bin, which is required to carry out warehouse-crossing operation on the downstream bins;

according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the downstream warehouses, the dispatching logistics system distributes the inventory goods in the upstream warehouse to the downstream warehouses;

wherein the plurality of first terminals are disposed in a plurality of downstream bins and the second terminals are disposed in an upstream bin; the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

3. The method according to claim 1, wherein performing cost optimization based on a corresponding cost optimization relationship according to the inventory demand of the downstream bins and the current inventory quantity of an upstream bin to obtain a target ex-warehouse quantity of the upstream bin, which requires ex-warehouse operation to the downstream bins, comprises:

judging whether the current inventory quantity of the upstream bin is smaller than the sum of the inventory demands of the downstream bins;

and if so, performing cost optimization based on the corresponding cost optimization relation to obtain a target warehouse-crossing amount of the upstream warehouse which needs warehouse-crossing operation to the downstream warehouses.

4. The method of claim 3, further comprising:

and if not, taking the inventory demand of at least one downstream bin as a target ex-warehouse quantity of the upstream bin required to perform ex-warehouse operation on the at least one downstream bin.

5. The method of claim 3, wherein performing cost optimization based on a cost optimization relationship to obtain a target out-of-bin amount that the upstream bin needs to perform out-of-bin operations to the at least one downstream bin comprises:

performing cost optimization based on a cost optimization relation to obtain a warehouse-crossing amount of the upstream warehouse needing warehouse-crossing operation to the at least one downstream warehouse;

judging whether the bank crossing amount of the target downstream bin exists in the bank crossing amount of at least one downstream bin for the bank crossing operation is a negative number;

if so, setting the stock crossing amount of the target downstream bin to be 0, and continuing to perform cost optimization based on the cost optimization relation to obtain the target stock crossing amount of the upstream bin, which needs to perform stock crossing operation on the at least one downstream bin, wherein the target stock crossing amount is a non-negative number.

6. The method of claim 5, wherein performing cost optimization based on a cost optimization relationship to obtain a bin crossing amount that the upstream bin needs to perform a bin crossing operation to the at least one downstream bin comprises:

establishing a cost optimization target optimization function according to the existing over-warehouse fixed cost, the goods holding cost and the goods shortage cost;

generating a punishment item according to the Lagrange multiplier, the current inventory of the upstream bin and the over-bin variable of the upstream bin, which needs to perform over-bin operation on the at least one downstream bin;

adding the penalty item into a target optimization function to obtain a new target optimization function;

updating the existing service level function and economic batch function by using a new target optimization function to obtain a simultaneous equation;

and solving the joint cubic equation to obtain the value of the Lagrange multiplier and the library crossing amount of the upstream bin needing to perform library crossing operation on the at least one downstream bin.

7. An information display method, comprising:

displaying an interface; at least one cross-stock optimization mode is displayed in the interface;

responding to the selection operation of the at least one cross-warehouse quantity optimization mode, and showing a target cross-warehouse quantity of the upstream warehouse needing to perform cross-warehouse operation on the at least one downstream warehouse;

responding to the scheduling operation, and sending a scheduling instruction to the logistics system so that the logistics system can obtain inventory goods from the upstream bin and distribute the inventory goods to the corresponding downstream bin;

the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

8. The method of claim 7, wherein the step of presenting a target over-bin amount of the upstream bin requiring an over-bin operation to the at least one downstream bin in response to the operation of selecting the at least one over-bin amount optimization mode comprises:

responding to the selection operation of the at least one ex-warehouse quantity optimization mode, and performing cost optimization by using the selected optimization mode to obtain a target ex-warehouse quantity of which an upstream warehouse needs to perform ex-warehouse operation on the at least one downstream warehouse;

and showing the target bank-crossing amount of the upstream bin needing to perform the bank-crossing operation on the at least one downstream bin.

9. The method of claim 7, wherein prior to exhibiting a target over-bin amount for which the upstream bin requires an over-bin operation to the at least one downstream bin in response to the selecting of the at least one over-bin amount optimization manner, the method further comprises:

responding to the stock quantity obtaining operation, and displaying the current stock quantity of the upstream bin and the stock quantity of at least one downstream bin;

and responding to the over-library operation, and displaying at least one over-library quantity optimization mode.

10. A data processing apparatus, characterized by comprising: a memory and a processor;

the memory to store one or more computer instructions;

the processor to execute the one or more computer instructions to:

receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal;

according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, carrying out cost optimization based on a corresponding cost optimization relation to obtain a target warehouse-crossing quantity of the upstream bin, which is required to carry out warehouse-crossing operation on the downstream bins;

according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the downstream warehouses, the dispatching logistics system distributes the inventory goods in the upstream warehouse to the downstream warehouses;

wherein the plurality of first terminals are disposed in a plurality of downstream bins and the second terminals are disposed in an upstream bin; the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

11. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by one or more processors, causes the one or more processors to perform acts comprising:

receiving inventory demands of a plurality of downstream bins reported by a plurality of first terminals and the current inventory quantity of an upstream bin reported by a second terminal;

according to the inventory demand of the downstream bins and the current inventory quantity of the upstream bin, carrying out cost optimization based on a corresponding cost optimization relation to obtain a target warehouse-crossing quantity of the upstream bin, which is required to carry out warehouse-crossing operation on the downstream bins;

according to the target warehouse-crossing amount of warehouse-crossing operation of the upstream warehouse to the downstream warehouses, the dispatching logistics system distributes the inventory goods in the upstream warehouse to the downstream warehouses;

wherein the plurality of first terminals are disposed in a plurality of downstream bins and the second terminals are disposed in an upstream bin; the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

12. An information presentation apparatus, comprising: a memory, a processor and an electronic display screen;

the memory to store one or more computer instructions;

the processor to execute the one or more computer instructions to:

displaying an interface on the electronic display screen; at least one cross-stock optimization mode is displayed in the interface;

responding to the selection operation of the at least one cross-warehouse quantity optimization mode, and showing a target cross-warehouse quantity of the upstream warehouse needing to perform cross-warehouse operation on the at least one downstream warehouse;

responding to the scheduling operation, and sending a scheduling instruction to the logistics system so that the logistics system can obtain inventory goods from the upstream bin and distribute the inventory goods to the corresponding downstream bin;

the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

13. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by one or more processors, causes the one or more processors to perform acts comprising:

displaying an interface; at least one cross-stock optimization mode is displayed in the interface;

responding to the selection operation of the at least one cross-warehouse quantity optimization mode, and showing a target cross-warehouse quantity of the upstream warehouse needing to perform cross-warehouse operation on the at least one downstream warehouse;

responding to the scheduling operation, and sending a scheduling instruction to the logistics system so that the logistics system can obtain inventory goods from the upstream bin and distribute the inventory goods to the corresponding downstream bin;

the upstream bin receiving the supplier's goods; the downstream bin receives the goods called in by the upstream bin, but does not receive the goods of the supplier; the warehouse-crossing operation means that the upstream warehouse does not carry goods on shelves and directly crosses the warehouse to the downstream warehouse.

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